Over the past six months, roughly 100 Salesforce employees have quietly left for OpenAI or Anthropic. Almost all of them worked in sales.
The numbers, first reported by The Information, break down to about 60 to OpenAI and 40 to Anthropic, concentrated in go-to-market roles. That's a steady drain of the exact people whose job is to walk into a Fortune 500 office and explain why a company should buy enterprise software.
The reason isn't hard to figure out. OpenAI and Anthropic aren't really frontier labs anymore, they're enterprise software companies trying to sell to the same CIOs Salesforce has been calling on for twenty years. OpenAI alone says it now has more than a million business customers, including Walmart, Morgan Stanley, and Target. To keep that going, you need people who know how to close a seven-figure deal, and Salesforce happens to have more of those people than anywhere else.
The clearest signal came last week, when OpenAI named Denise Dresser as its new Chief Revenue Officer. Dresser ran Slack and spent years inside Salesforce before that. Now she's the one in charge of selling ChatGPT into the enterprise. Fidji Simo, OpenAI's CEO of Applications, framed the hire as putting "AI tools into the hands of millions of workers, across every industry." The plainer version is that OpenAI needed a real sales org and went out and hired one of the people who built one of the best.
Salesforce is not pretending nothing is happening. The company recently said it plans to grow its sales team by 20% this year while hiring zero new engineers. It's also tripled its "forward deployed engineer" team in six months, a role borrowed from Palantir that blends sales, consulting, and technical work. Postings for that role are up roughly 800% across the industry.
The logic from Salesforce's side is straightforward. AI agents can already handle a lot of internal work. The company's own Agentforce product now resolves 63% of customer support questions on its own, and an internal sales agent has booked hundreds of meetings off cold prospects with no human in the loop. What agents still can't do is sit across the table from a procurement officer and convince them to switch CRMs. So the headcount shifts in that direction.
There's a layer of strangeness here worth pausing on. Salesforce is reportedly planning to spend around $300 million on Anthropic's tokens next year, even as Anthropic keeps hiring its salespeople. Benioff himself recently called Anthropic's coding agents "awesome" on a podcast. It's the kind of relationship where you write the check, then watch your top reps walk across the street to the company you're paying.
INTO THE VALLEY
The interesting part isn't the poaching itself, it's what it says about where AI companies think the next phase of growth actually lives. Frontier labs spent three years competing on benchmarks. They're now competing on quota. The thing that decides who wins enterprise AI in 2026 isn't whose model scores higher on an eval. It's whose sales team can close Q3, and right now both OpenAI and Anthropic seem to have decided the fastest way to build one is to take Salesforce's.
